CN116821621A - Green electricity transaction carbon emission accounting method, green electricity transaction carbon emission accounting device and computer equipment - Google Patents
Green electricity transaction carbon emission accounting method, green electricity transaction carbon emission accounting device and computer equipment Download PDFInfo
- Publication number
- CN116821621A CN116821621A CN202310778981.1A CN202310778981A CN116821621A CN 116821621 A CN116821621 A CN 116821621A CN 202310778981 A CN202310778981 A CN 202310778981A CN 116821621 A CN116821621 A CN 116821621A
- Authority
- CN
- China
- Prior art keywords
- green electricity
- green
- carbon
- carbon emission
- transaction
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000005611 electricity Effects 0.000 title claims abstract description 413
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 title claims abstract description 362
- 229910052799 carbon Inorganic materials 0.000 title claims abstract description 361
- 238000000034 method Methods 0.000 title claims abstract description 43
- 238000004590 computer program Methods 0.000 claims description 24
- 238000004364 calculation method Methods 0.000 claims description 6
- 230000009467 reduction Effects 0.000 abstract description 4
- 230000000875 corresponding effect Effects 0.000 description 27
- 230000006870 function Effects 0.000 description 6
- 238000010248 power generation Methods 0.000 description 5
- 238000012549 training Methods 0.000 description 5
- 238000004891 communication Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 239000002803 fossil fuel Substances 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000012946 outsourcing Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000000903 blocking effect Effects 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 229910021389 graphene Inorganic materials 0.000 description 1
- 239000005431 greenhouse gas Substances 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003062 neural network model Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application relates to a green electricity transaction carbon emission accounting method, a green electricity transaction carbon emission accounting device, computer equipment and a storage medium. And inputting the total regional carbon emission and the first non-transaction green electricity consumption of the regional power grid into a trained green electricity carbon deduction factor identification model, acquiring a green electricity carbon deduction factor corresponding to the regional power grid output by the model, and determining the target carbon emission after the green electricity carbon emission is removed for the power user to be calculated according to the second non-transaction green electricity consumption and the green electricity carbon deduction factor for the power to be calculated. Compared with the traditional emission reduction determination carbon emission based on the generation of alternative fossil energy, the green electricity carbon deduction factor is determined based on the relevant parameters of the area where the power user is located and the green electricity carbon deduction factor identification model, and the carbon emission after the green electricity carbon emission is removed by the power user is determined by combining the non-transaction green electricity consumption of the power user and the green electricity carbon deduction factor, so that the accuracy of accounting the green electricity transaction carbon emission is improved.
Description
Technical Field
The application relates to the technical field of clean energy, in particular to a green electricity transaction carbon emission accounting method, a green electricity transaction carbon emission accounting device, a green electricity transaction carbon emission accounting computer device, a green electricity transaction carbon emission accounting storage medium and a green electricity transaction carbon emission accounting computer program product.
Background
Under the 'double carbon' target, a novel electric power system taking new energy as a main body is constructed in an accelerating way, and green electricity, namely green electric power, gradually becomes an important source of electric power supply. The green electricity transaction, namely green electricity transaction, has the value of reducing carbon emission, and is used for improving the enthusiasm of enterprises for using green electricity, maintaining ecological environment clean and needing to be deducted based on the quantity of the enterprises for using green electricity when accounting the carbon emission of the enterprises. The current way to determine the carbon emissions of an enterprise is generally based on nationwide average carbon emission factors and the reduced emissions produced by alternative fossil energy power generation. However, the calculated carbon emissions in this manner are different from the actual conditions of the enterprises.
Therefore, the existing method for accounting the carbon emission of enterprises has the defect of low accuracy.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a green electricity trading carbon emission amount accounting method, apparatus, computer device, computer readable storage medium, and computer program product that can improve the accounting accuracy.
In a first aspect, the present application provides a green electricity trading carbon emission accounting method, the method comprising:
acquiring the total regional carbon emission amount of a regional power grid where a power user to be calculated is located, and acquiring first non-transaction green electricity consumption of the regional power grid; the first non-transaction green electricity consumption represents the electricity consumption of the regional power grid without green electricity; the green power is obtained through transaction;
inputting the total regional carbon emission and the first non-transaction green electricity consumption into a trained green electricity carbon deduction factor identification model, and obtaining a green electricity carbon deduction factor corresponding to the regional power grid output by the green electricity carbon deduction factor identification model; the green electricity carbon deduction factor characterizes the influence factor of the transaction green electricity used by each power consumer in the regional power grid on the carbon emission;
acquiring second non-transaction green electricity consumption of the electric power user to be calculated, and determining target carbon emission of the electric power user to be calculated according to the second non-transaction green electricity consumption and the green electricity carbon deduction factor; the second non-transaction green electricity consumption represents the electricity consumption of the green electricity which is not used by the power consumer to be checked; the target carbon emission amount characterizes the carbon emission amount after the green electricity carbon emission amount is removed; the green electricity carbon emission amount characterizes a carbon emission amount corresponding to an amount of electricity used for using the green electricity.
In one embodiment, the obtaining the total regional carbon emission amount of the regional power grid where the electric power consumer is to be calculated includes:
acquiring an administrative region where a power user to be calculated is located;
and obtaining the regional carbon emission total amount of the regional power grid according to the regional carbon emission total amount of the power grid of the administrative region.
In one embodiment, the obtaining the first non-trade green electricity consumption of the regional power grid includes:
acquiring the total regional power consumption of the regional power grid and the transaction green power consumption of the regional power grid; the trade green electricity consumption represents the electricity consumption of the green electricity in the regional power grid;
and obtaining the first non-transaction green electricity consumption according to the difference value of the total electricity consumption of the area and the transaction green electricity consumption.
In one embodiment, the inputting the regional carbon emission total and the first non-transacted green electricity usage into a trained green electricity carbon offset factor identification model comprises:
and inputting the total regional carbon emission and the first non-transaction green electricity consumption into a trained green electricity carbon deduction factor identification model, and outputting a green electricity carbon deduction factor corresponding to the regional power grid by the green electricity carbon deduction factor identification model according to the ratio of the total regional carbon emission to the first non-transaction green electricity consumption.
In one embodiment, the obtaining the second non-transaction green electricity consumption of the electric power consumer to be accounted for includes:
acquiring the total power consumption of the power consumer to be calculated and the green power purchased by the power consumer to be calculated;
and obtaining the second non-transaction green electricity consumption according to the difference value of the total electricity consumption of the power consumer and the purchased green electricity consumption.
In one embodiment, the determining the target carbon emission of the electric power consumer to be accounted for according to the second non-transacted green electricity consumption amount and the green electricity carbon deduction factor includes:
determining the total carbon emission amount of the power consumer to be calculated according to a first product of the total power consumption of the power consumer and the green carbon deduction factor;
determining green electricity deduction amount of the power user to be calculated according to a second product of the purchased green electricity quantity and the green electricity carbon deduction factor;
and obtaining the indirect carbon emission of the electric power user to be calculated as a target carbon emission according to the difference between the total carbon emission of the user and the green electricity deduction amount.
In a second aspect, the present application provides a green electricity trading carbon emission accounting device, the device comprising:
the system comprises an acquisition module, a calculation module and a calculation module, wherein the acquisition module is used for acquiring the regional carbon emission total amount of a regional power grid where a power user to be calculated is located and acquiring first non-transaction green electricity consumption of the regional power grid; the first non-transaction green electricity consumption represents the electricity consumption of the regional power grid without green electricity; the green power is obtained through transaction;
the input module is used for inputting the total regional carbon emission and the first non-transaction green electricity consumption into a trained green electricity carbon deduction factor identification model, and acquiring a green electricity carbon deduction factor corresponding to the regional power grid output by the green electricity carbon deduction factor identification model; the green electricity carbon deduction factor characterizes the influence factor of the transaction green electricity used by each power consumer in the regional power grid on the carbon emission;
the determining module is used for obtaining second non-transaction green electricity consumption of the electric power user to be calculated and determining target carbon emission of the electric power user to be calculated according to the second non-transaction green electricity consumption and the green electricity carbon deduction factor; the second non-transaction green electricity consumption represents the electricity consumption of the green electricity which is not used by the power consumer to be checked; the target carbon emission amount characterizes the carbon emission amount after the green electricity carbon emission amount is removed; the green electricity carbon emission amount characterizes a carbon emission amount corresponding to an amount of electricity used for using the green electricity.
In a third aspect, the present application provides a computer device comprising a memory storing a computer program and a processor implementing the steps of the method described above when the processor executes the computer program.
In a fourth aspect, the present application provides a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of the method described above.
In a fifth aspect, the application provides a computer program product comprising a computer program which, when executed by a processor, implements the steps of the method described above.
The green electricity transaction carbon emission accounting method, the green electricity transaction carbon emission accounting device, the computer equipment, the storage medium and the computer program product are characterized in that the green electricity carbon deduction factor corresponding to the regional power grid output by a trained green electricity carbon deduction factor identification model is obtained through inputting the total regional carbon emission and the first non-transaction green electricity consumption of the regional power grid, and the target carbon emission after the green electricity carbon emission is removed of a power user to be accounting is determined according to the second non-transaction green electricity consumption and the green electricity carbon deduction factor for the power to be accounting. Compared with the traditional method for determining the carbon emission based on the national average carbon emission factor and the emission reduction generated by replacing fossil energy power generation, the method and the device for determining the carbon emission based on the green electricity carbon deduction factor determine the green electricity carbon deduction factor based on the relevant parameters of the area where the power user is located and the green electricity carbon deduction factor identification model, and determine the carbon emission of the power user after the green electricity carbon emission is removed by combining the non-transaction green electricity consumption of the power user and the green electricity carbon deduction factor, so that the accuracy of accounting the green electricity transaction carbon emission is improved.
Drawings
FIG. 1 is an application environment diagram of a green electricity trading carbon emission accounting method in one embodiment;
FIG. 2 is a flow chart of a green electricity trading carbon emission accounting method in one embodiment;
FIG. 3 is a block diagram showing the construction of a green electricity trading carbon emission accounting device in one embodiment;
fig. 4 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The green electricity transaction carbon emission accounting method provided by the embodiment of the application can be applied to an application environment shown in fig. 1. Wherein the terminal 102 communicates with the regional power grid 104 via a network. The regional power grid 104 comprises a plurality of power users, the terminal 102 can acquire the power consumption parameters of the regional power grid 104 and can also acquire the power consumption parameters of all the power users in the regional power grid 104, so that the terminal 102 can output green electricity deduction factors based on the green electricity deduction factor identification model and determine target carbon emission based on the power consumption parameters of the power users and the green electricity deduction factors. The terminal 102 may be, but is not limited to, various personal computers, notebook computers, smart phones, and tablet computers.
In one embodiment, as shown in fig. 2, there is provided a green electricity trading carbon emission accounting method, which is described by taking an example that the method is applied to the terminal in fig. 1, including the steps of:
step S202, obtaining regional carbon emission total of a regional power grid where a power user to be calculated is located, and obtaining first non-transaction green electricity consumption of the regional power grid; the first non-trade green electricity consumption represents the electricity consumption of the green electricity which is not used in the regional power grid; green power is obtained through transactions.
The electric power consumer to be accounted for may be a consumer using electric power in the regional power grid, such as an electric power consumer of an enterprise. In the carbon market, the quota that the key emission unit needs to be paid for includes both direct emission generated by own fossil fuel consumption and indirect emission caused by using outsourcing power, and the scheme can be used for determining indirect emission caused by enterprise outsourcing power, and in some embodiments, the direct emission generated by own fossil fuel consumption can also exist for the enterprise power user, at this time, the terminal can sum the carbon emission corresponding to the direct emission and the determined indirect carbon emission, so as to obtain the total carbon emission of the enterprise power user. When the electricity consumer uses green electricity, i.e., electricity produced by green energy sources, the deduction of the carbon emission amount may be performed in determining the total amount of carbon emission of the electricity consumer to embody the environmental cleaning effect given by using green electricity. When the enterprise consumes green electricity, the corresponding electricity quantity can be used for deducting the carbon emission quantity, and the corresponding electricity quantity emission factor is 0. If the business is allowed to withhold the carbon emissions with green electricity, then there is a problem of duplicate computing environment benefits in computing the carbon withholding factor for the green electricity in the area. In order to accurately reflect the carbon emission reduction effect of green electricity transaction in different areas in combination with the actual emission factor of the power used by enterprises under the conditions of direct power supply and the like, the terminal can determine the carbon emission of each power user based on the information of the area where the power user is located.
For example, the terminal may obtain a total amount of regional carbon emissions of a regional power grid in which the power consumer is to be accounted for, and obtain a first non-transacted green electricity usage of the regional power grid. The first non-transaction green electricity consumption represents the electricity consumption of the green power not used in the regional power grid, and the green power can be obtained through transaction, for example, a user of enterprise power can purchase green power to a power generation unit, and then the user of enterprise power can consume green power.
The regional power grid can be a power grid of a region where the power consumer is to be calculated, the region can be an administrative region where the power consumer is located, and the terminal can acquire relevant power consumption information of the administrative region where the power consumer is located. For example, in one embodiment, the terminal may obtain an administrative area in which the power consumer to be accounted for is located; and obtaining the regional carbon emission total of the regional power grid according to the regional carbon emission total of the power grid of the administrative region. The administrative area may be a province or a city area where the power consumer is to be calculated. The total carbon emission in the above-mentioned area may be the total carbon emission of the province where the electric power consumer is to be calculated, or the total carbon emission of the urban area where the electric power consumer is to be calculated, etc.
Step S204, inputting the total regional carbon emission and the first non-transaction green electricity consumption into a trained green electricity carbon deduction factor identification model, and obtaining a green electricity carbon deduction factor corresponding to a regional power grid output by the green electricity carbon deduction factor identification model; the green electricity carbon deduction factor characterizes the influence factor of the trade green electricity used by each power consumer in the regional power grid on the carbon emission.
In some embodiments, the terminal may obtain a regional carbon emission total amount sample and a first non-transaction green electricity consumption amount sample, and obtain corresponding green electricity carbon deduction factor label information, the terminal may input the regional carbon emission total amount sample and the first non-transaction green electricity consumption amount sample into the green electricity carbon deduction factor identification model to be trained, the green electricity carbon deduction factor identification model may output corresponding green electricity carbon deduction factor prediction information based on the regional carbon emission total amount sample and the first non-transaction green electricity consumption amount sample, so that the terminal may adjust model parameters of the green electricity carbon deduction factor identification model according to similarity between the green electricity carbon deduction factor prediction information and the green electricity carbon deduction factor label information, and return to the step of inputting the regional carbon emission total amount sample and the first non-transaction green electricity consumption amount sample into the green electricity deduction factor identification model to be trained until a preset training end condition is met, and the terminal may obtain the trained green electricity deduction factor identification model. The preset training ending condition may be that the similarity between the green carbon deduction factor prediction information and the green carbon deduction factor label information is greater than or equal to a preset similarity threshold value within a preset training frequency, or the training frequency reaches the preset training frequency.
After the terminal obtains the trained green electricity carbon deduction factor identification model, the total regional carbon emission amount and the first non-transaction green electricity consumption amount can be input into the trained green electricity carbon deduction factor identification model, and the green electricity carbon deduction factor corresponding to the regional power grid output by the green electricity carbon deduction factor identification model based on a preset function is obtained. The green electricity carbon deduction factors output by the green electricity carbon deduction factor identification model represent influence factors of the transaction green electricity used by each power user on the carbon emission in the regional power grid. For example, when a power consumer uses green electricity obtained by a transaction, the more electricity it purchases green electricity, and accordingly, when accounting for the carbon emissions of the power consumer, the more carbon emissions can be offset, i.e., the green electricity carbon deduction factor of an area is positively correlated with the electricity amount value of the green electricity purchased by the consumer.
Step S206, obtaining second non-transaction green electricity consumption of the electric power user to be calculated, and determining target carbon emission of the electric power user to be calculated according to the second non-transaction green electricity consumption and the green electricity carbon deduction factor; the second non-transaction green electricity consumption represents the electricity consumption of green electricity which is not used by the power consumer to be accounted; the target carbon emission amount characterizes the carbon emission amount after the green electricity carbon emission amount is removed; the green electricity carbon emission amount characterizes a carbon emission amount corresponding to an amount of electricity used for using green electricity.
The second non-transaction green electricity consumption represents the electricity consumption of the green electricity obtained by transaction, which is not used by the power consumer to be checked. The terminal can acquire the second non-transaction green electricity consumption of the power consumer to be calculated, and determine the target carbon emission of the power consumer to be calculated according to the second non-transaction green electricity consumption and the determined green electricity carbon deduction factor. Wherein the target carbon emission amount represents the carbon emission amount after the green electricity carbon emission amount is removed, and the green electricity carbon emission amount represents the carbon emission amount corresponding to the electricity consumption amount of the green electricity obtained by the electricity consumer through the transaction. Specifically, the terminal may determine a carbon deduction amount corresponding to green power used by the power consumer based on the green power carbon deduction factor and the green power consumption of the power consumer, and further determine the target carbon emission amount based on the carbon deduction amount and the total carbon emission amount of the power consumer.
In addition, in this embodiment, the target carbon emission amount may be an indirect carbon emission amount when the power consumer purchases power, and in some embodiments, the enterprise power consumer may further have direct emission generated by self fossil fuel consumption, and at this time, the terminal may further sum the carbon emission amount corresponding to the direct emission and the determined indirect carbon emission amount, so as to obtain the total carbon emission amount of the enterprise power consumer.
In the green electricity transaction carbon emission accounting method, the green electricity carbon deduction factor corresponding to the regional power grid output by the trained green electricity carbon deduction factor identification model is obtained by inputting the total regional carbon emission and the first non-transaction green electricity consumption of the regional power grid, and the target carbon emission after the green electricity carbon emission is removed is determined for the power user to be accounting according to the second non-transaction green electricity consumption and the green electricity carbon deduction factor for the power to be accounting. Compared with the traditional method for determining the carbon emission based on the national average carbon emission factor and the emission reduction generated by replacing fossil energy power generation, the method and the device for determining the carbon emission based on the green electricity carbon deduction factor determine the green electricity carbon deduction factor based on the relevant parameters of the area where the power user is located and the green electricity carbon deduction factor identification model, and determine the carbon emission of the power user after the green electricity carbon emission is removed by combining the non-transaction green electricity consumption of the power user and the green electricity carbon deduction factor, so that the accuracy of accounting the green electricity transaction carbon emission is improved.
In one embodiment, obtaining a first non-transacted green electricity usage of a regional power grid includes: acquiring the total regional power consumption of the regional power grid and the trading green power consumption of the regional power grid; the method comprises the steps of trading green electricity consumption to represent the electricity consumption of green electricity used in a regional power grid; and obtaining the first non-transaction green electricity consumption according to the difference value of the total electricity consumption of the area and the transaction green electricity consumption.
In this embodiment, the trade green electricity consumption represents the electricity consumption of the green electricity obtained by the trade in the regional power grid, for example, the electricity consumption of the green electricity used by all power consumers in a certain province. The terminal can acquire the regional total power consumption of the regional power grid and the transaction green power consumption of the regional power grid, so that the terminal can acquire the difference value between the regional total power consumption and the transaction green power consumption and acquire the first non-transaction green power consumption according to the difference value. Specifically, the terminal may make the regional power grid be denoted as i, and make the total power consumption of the regional power grid be denoted as E i Trading green electricity consumption may also be referred to as green electricity consumption, and may be represented as GE i . The function of the first non-transacted green electricity consumption may be expressed as: NGE i ＝E i -GE i . Therein, NGE i Representing a first non-transacted green electricity usage.
Through the embodiment, the terminal can determine the first non-transaction green electricity consumption of the regional power grid based on the total electricity consumption of the regional power grid and the green electricity consumption of the regional power grid, so that the terminal can determine the carbon emission of the power user after removing the green electricity carbon emission based on the first non-transaction green electricity consumption, and the accuracy of accounting the green electricity transaction carbon emission is improved.
In one embodiment, inputting the regional carbon emission aggregate and the first non-transacted green electricity usage into a trained green electricity carbon footprint recognition model includes: and inputting the total regional carbon emission and the first non-transaction green electricity consumption into a trained green electricity carbon deduction factor identification model, and outputting the green electricity carbon deduction factor corresponding to the regional power grid by the green electricity carbon deduction factor identification model according to the ratio of the total regional carbon emission to the first non-transaction green electricity consumption.
In this embodiment, after the terminal obtains the total regional carbon emission amount and the first non-transaction green electricity consumption amount, the total regional carbon emission amount and the first non-transaction green electricity consumption amount may be input into a trained green carbon deduction factor identification model, where the green carbon deduction factor identification model may be a neural network model with a multi-layer network, and the green carbon deduction factor identification model may determine, in the multi-layer network, a green carbon deduction factor corresponding to the regional power grid based on a preset function. For example, the green carbon deduction factor identification model may obtain a ratio of the total regional carbon emission amount to the first non-transacted green electricity consumption amount, and determine a green carbon deduction factor corresponding to the regional power grid according to the ratio, so that the terminal may obtain the green carbon deduction factor corresponding to the regional power grid output by the green carbon deduction factor identification model.
Specifically, when the green power is used by the power consumer in the regional power grid, there is a problem that the green power is repeatedly calculated by calculating the carbon deduction factor of the green power in the regional power grid. Thus, the terminal can deduct the green power transaction amount of the power consumer when calculating the green carbon deduction factor of the area. The regional carbon emission total of the regional power grid can be expressed as EE i The green carbon rejection factor may be expressed as EF g . After the terminal inputs the total regional carbon emission and the first non-transaction green electricity consumption into the trained green electricity carbon deduction factor identification model, the green electricity carbon deduction factor identification model can be determined based on the following functionGreen carbon blocking factor of fixed area grid: EF (electric F) g ＝EE i /(E i -GE i ). Wherein, (E) i -GE i ) And the first non-transaction green electricity consumption is the first non-transaction green electricity consumption. The terminal can determine the trading green electricity consumption of the market main body according to a green electricity trading contract between an electricity user and a power generation main body in the regional power grid, and calculate a green electricity carbon deduction factor with the carbon emission of the regional power industry after deducting the green electricity trading amount by the regional total electricity generation amount in a green electricity carbon deduction factor identification model.
According to the embodiment, the terminal can determine the green electricity carbon deduction factor based on the total regional carbon emission and the first non-transaction green electricity consumption by the green electricity carbon deduction factor identification model, so that the terminal can determine the carbon emission after the electricity user removes the green electricity carbon emission based on the green electricity carbon deduction factor, and the accuracy of accounting the green electricity transaction carbon emission is improved.
In one embodiment, obtaining a second non-transacted green electricity usage of the power consumer to be accounted for comprises: acquiring the total power consumption of the power consumer to be calculated and the green power purchased by the power consumer to be calculated; and obtaining the second non-transaction green electricity consumption according to the difference value of the total electricity consumption of the power consumer and the purchased green electricity consumption.
In this embodiment, the power consumer in the regional power grid corresponds to a second non-transaction green electricity consumption. When the terminal obtains the second non-transaction green electricity consumption of the power consumer to be calculated, the terminal can firstly obtain the total electricity consumption of the power consumer to be calculated and obtain the purchase green electricity consumption of the power consumer to be calculated. The total power consumption of the power consumer represents the total power consumption of the power consumer to be checked in a preset carbon emission settlement period, and the purchased green power represents the power consumption of the green power obtained by purchasing the power consumer to be checked. The terminal can obtain the difference value of the total power consumption of the power consumer and the purchased green power consumption, and obtain the second non-transaction green power consumption according to the difference value.
Specifically, the terminal may represent the power consumer as j and the total power consumption of the power consumer as E j Purchase green of power consumerThe electric quantity is shown as GE j The terminal may determine the second non-transacted green electricity consumption by: NGE j ＝E j -GE j . Therein, NGE j Representing the second non-trade green electricity consumption.
Through the embodiment, the terminal can determine the second non-transaction green electricity consumption of the power consumer based on the total electricity consumption of the power consumer and the purchase green electricity consumption of the power consumer, so that the terminal can determine the carbon emission of the power consumer after the green electricity carbon emission is removed based on the second non-transaction green electricity consumption, and the accuracy of accounting the green electricity transaction carbon emission is improved.
In one embodiment, determining a target carbon emissions for the electric utility to be accounted for based on the second non-transacted green electricity usage and the green electricity carbon cancellation factor comprises: determining the total carbon emission amount of the power consumer to be calculated according to the first product of the total power consumption of the power consumer and the green carbon deduction factor; according to the second product of the purchased green electric quantity and the green electricity carbon deduction factor, determining the green electricity deduction quantity of the power user to be calculated; and obtaining the indirect carbon emission of the electric power user to be calculated as the target carbon emission according to the difference between the total carbon emission of the user and the green electricity deduction amount.
In this embodiment, when the terminal determines the target carbon emission amount of the power consumer to be accounted for, the terminal may determine based on the second non-transaction green electricity consumption amount and the green electricity carbon cancellation factor. The second non-transaction green electricity consumption is determined based on the total electricity consumption of the power consumer and the green electricity purchase amount of the power consumer, and the terminal can determine the target carbon emission based on the total electricity consumption of the power consumer, the green electricity purchase amount of the power consumer and the green electricity carbon deduction factor. For example, the terminal may obtain a first product of the total power consumption of the power consumer and the green carbon cancellation factor, and determine a total amount of consumer carbon emissions for the power consumer to be accounted for based on the first product. The terminal can also obtain a second product of the purchased green electric quantity and the green electric carbon deduction factor, and determine the green electric deduction quantity of the electric power user to be calculated according to the second product. The total carbon emission amount of the user represents the total amount of greenhouse gases emitted by the power user in a preset carbon emission amount settlement period of the power user to be calculated. The green electricity carbon deduction amount represents the carbon deduction amount generated by the electricity consumer to be accounted for by using the green electricity, and the green electricity carbon deduction amount can be used to offset the total electricity consumption of the electricity consumer. The terminal can obtain the difference between the total carbon emission amount of the user and the green electricity deduction amount, and obtain the indirect carbon emission amount of the power user to be calculated according to the difference, so that the terminal can take the indirect carbon emission amount as the target carbon emission amount. Wherein the indirect carbon emission amount represents the carbon emission amount when the electric power consumer to be accounted for uses electricity only by purchasing electric power.
Specifically, the electric power user to be checked may be an enterprise, if enterprise j in regional power grid i obtains green electric power GE through green electric power transaction j Then it purchases the carbon emission of the green electricity as EC j I.e. green electricity deduction amount of green electricity trade of electricity consumer j. The function of the green voltage deduction amount can be as follows: EC (EC) j ＝GE j ·EF g . Wherein EF is g Representing the green carbon rejection factor. The terminal can directly purchase the electricity in the net of the performing body, namely the total electricity consumption E of the electricity consumer when calculating the indirect carbon emission of the electricity of the enterprise j j And (3) the middle knot reduces the amount of the purchased green electric power, and calculates the indirect carbon emission of the electric power according to the green electric carbon deduction factor, namely the target carbon emission. The function of the target carbon emission amount described above may be as follows: em j ＝(E j -GE j )·EF g . The functions are unfolded to obtain the following steps: em j ＝E j ·EF g -GE j ·EF g . Wherein Em j Representing the target carbon emission amount of the electric power consumer to be calculated, E j ·EF g Representing the total amount of customer carbon emissions for the electricity customers.
Through the embodiment, the terminal can determine the target carbon emission of the power user based on the total power consumption of the power user, the purchased green power quantity and the green power carbon deduction factor, so that the accuracy of accounting the green power transaction carbon emission is improved. And when the electric power carbon emission factor in the calculation area is calculated, the terminal deducts the corresponding green electricity transaction amount, so that the problem of repeated calculation is avoided, and meanwhile, the geographical range of the emission factor is reduced to a provincial area, so that the terminal is more fair and accurate, is beneficial to hooking green electricity markets and carbon markets, and excites market vitality.
It should be understood that, although the steps in the flowcharts related to the above embodiments are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a green electricity transaction carbon emission amount accounting device for realizing the green electricity transaction carbon emission amount accounting method. The implementation of the solution provided by the device is similar to that described in the above method, so the specific limitation in the embodiments of the green electricity trading carbon emission accounting device or devices provided below may refer to the limitation of the green electricity trading carbon emission accounting method hereinabove, and will not be repeated here.
In one embodiment, as shown in fig. 3, there is provided a green electricity trading carbon emission accounting device including: an acquisition module 500, an input module 502, and a determination module 504, wherein:
the acquiring module 500 is configured to acquire a total regional carbon emission amount of a regional power grid where a power consumer to be accounted is located, and acquire a first non-transaction green electricity consumption amount of the regional power grid; the first non-trade green electricity consumption represents the electricity consumption of the green electricity which is not used in the regional power grid; green power is obtained through transactions.
The input module 502 is configured to input the total regional carbon emission and the first non-transacted green electricity consumption into the trained green electricity carbon deduction factor identification model, and obtain a green electricity carbon deduction factor corresponding to the regional power grid output by the green electricity carbon deduction factor identification model; the green electricity carbon deduction factor characterizes the influence factor of the trade green electricity used by each power consumer in the regional power grid on the carbon emission.
The determining module 504 is configured to obtain a second non-transaction green electricity consumption of the electric power consumer to be calculated, and determine a target carbon emission of the electric power consumer to be calculated according to the second non-transaction green electricity consumption and the green electricity carbon deduction factor; the second non-transaction green electricity consumption represents the electricity consumption of green electricity which is not used by the power consumer to be accounted; the target carbon emission amount characterizes the carbon emission amount after the green electricity carbon emission amount is removed; the green electricity carbon emission amount characterizes a carbon emission amount corresponding to an amount of electricity used for using green electricity.
In one embodiment, the obtaining module 500 is specifically configured to obtain an administrative area where the electric power user to be calculated is located; and obtaining the regional carbon emission total of the regional power grid according to the regional carbon emission total of the power grid of the administrative region.
In one embodiment, the obtaining module 500 is specifically configured to obtain a total regional power consumption of the regional power grid and a transaction green power consumption of the regional power grid; the method comprises the steps of trading green electricity consumption to represent the electricity consumption of green electricity used in a regional power grid; and obtaining the first non-transaction green electricity consumption according to the difference value of the total electricity consumption of the area and the transaction green electricity consumption.
In one embodiment, the input module 502 is specifically configured to input the total regional carbon emission and the first non-transacted green electricity consumption into the trained green carbon deduction factor identification model, and output the green carbon deduction factor corresponding to the regional power grid according to the ratio of the total regional carbon emission to the first non-transacted green electricity consumption by the green carbon deduction factor identification model.
In one embodiment, the determining module 504 is specifically configured to obtain a total power consumption of the electric power consumer to be calculated and a green power purchase of the electric power consumer to be calculated; and obtaining the second non-transaction green electricity consumption according to the difference value of the total electricity consumption of the power consumer and the purchased green electricity consumption.
In one embodiment, the determining module 504 is specifically configured to determine the total amount of carbon emissions of the electric power consumer to be accounted for according to a first product of the total power consumption of the electric power consumer and the green carbon deduction factor; according to the second product of the purchased green electric quantity and the green electricity carbon deduction factor, determining the green electricity deduction quantity of the power user to be calculated; and obtaining the indirect carbon emission of the electric power user to be calculated as the target carbon emission according to the difference between the total carbon emission of the user and the green electricity deduction amount.
The above-described respective modules in the green electricity trading carbon emission amount accounting device may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a terminal, and the internal structure of which may be as shown in fig. 4. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program when executed by the processor implements a green electricity trading carbon emission accounting method. The display unit of the computer device is used for forming a visual picture, and can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be a key, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by persons skilled in the art that the architecture shown in fig. 4 is merely a block diagram of some of the architecture relevant to the present inventive arrangements and is not limiting as to the computer device to which the present inventive arrangements are applicable, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, a computer device is provided that includes a memory having a computer program stored therein and a processor that when executing the computer program implements the green electricity trading carbon emission accounting method described above.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, implements the green electricity trading carbon emission accounting method described above.
In one embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the green electricity trading carbon emission accounting method described above.
The user information (including but not limited to user equipment information, user personal information, etc.) and the data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present application are information and data authorized by the user or sufficiently authorized by each party.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.
Claims (10)
1. A green electricity trading carbon emission accounting method, the method comprising:
acquiring the total regional carbon emission amount of a regional power grid where a power user to be calculated is located, and acquiring first non-transaction green electricity consumption of the regional power grid; the first non-transaction green electricity consumption represents the electricity consumption of the regional power grid without green electricity; the green power is obtained through transaction;
inputting the total regional carbon emission and the first non-transaction green electricity consumption into a trained green electricity carbon deduction factor identification model, and obtaining a green electricity carbon deduction factor corresponding to the regional power grid output by the green electricity carbon deduction factor identification model; the green electricity carbon deduction factor characterizes the influence factor of the transaction green electricity used by each power consumer in the regional power grid on the carbon emission;
acquiring second non-transaction green electricity consumption of the electric power user to be calculated, and determining target carbon emission of the electric power user to be calculated according to the second non-transaction green electricity consumption and the green electricity carbon deduction factor; the second non-transaction green electricity consumption represents the electricity consumption of the green electricity which is not used by the power consumer to be checked; the target carbon emission amount characterizes the carbon emission amount after the green electricity carbon emission amount is removed; the green electricity carbon emission amount characterizes a carbon emission amount corresponding to an amount of electricity used for using the green electricity.
2. The method according to claim 1, wherein the obtaining the total amount of regional carbon emissions of the regional power grid in which the electric power consumer is to be accounted for comprises:
acquiring an administrative region where a power user to be calculated is located;
and obtaining the regional carbon emission total amount of the regional power grid according to the regional carbon emission total amount of the power grid of the administrative region.
3. The method of claim 1, wherein the obtaining the first non-transacted green electricity usage of the regional power grid comprises:
acquiring the total regional power consumption of the regional power grid and the transaction green power consumption of the regional power grid; the trade green electricity consumption represents the electricity consumption of the green electricity in the regional power grid;
and obtaining the first non-transaction green electricity consumption according to the difference value of the total electricity consumption of the area and the transaction green electricity consumption.
4. The method of claim 1, wherein said inputting the regional carbon emission total and the first non-transacted green electricity usage into a trained green electricity carbon cancellation factor identification model comprises:
and inputting the total regional carbon emission and the first non-transaction green electricity consumption into a trained green electricity carbon deduction factor identification model, and outputting a green electricity carbon deduction factor corresponding to the regional power grid by the green electricity carbon deduction factor identification model according to the ratio of the total regional carbon emission to the first non-transaction green electricity consumption.
5. The method of claim 1, wherein the obtaining the second non-transacted green electricity usage of the electric power consumer to be accounted for comprises:
acquiring the total power consumption of the power consumer to be calculated and the green power purchased by the power consumer to be calculated;
and obtaining the second non-transaction green electricity consumption according to the difference value of the total electricity consumption of the power consumer and the purchased green electricity consumption.
6. The method of claim 5, wherein the determining the target carbon emissions for the electric power consumer to be accounted for based on the second non-transacted green electricity usage amount and the green electricity carbon cancellation factor comprises:
determining the total carbon emission amount of the power consumer to be calculated according to a first product of the total power consumption of the power consumer and the green carbon deduction factor;
determining green electricity deduction amount of the power user to be calculated according to a second product of the purchased green electricity quantity and the green electricity carbon deduction factor;
and obtaining the indirect carbon emission of the electric power user to be calculated as a target carbon emission according to the difference between the total carbon emission of the user and the green electricity deduction amount.
7. A green electricity trading carbon emission accounting device, the device comprising:
the system comprises an acquisition module, a calculation module and a calculation module, wherein the acquisition module is used for acquiring the regional carbon emission total amount of a regional power grid where a power user to be calculated is located and acquiring first non-transaction green electricity consumption of the regional power grid; the first non-transaction green electricity consumption represents the electricity consumption of the regional power grid without green electricity; the green power is obtained through transaction;
the input module is used for inputting the total regional carbon emission and the first non-transaction green electricity consumption into a trained green electricity carbon deduction factor identification model, and acquiring a green electricity carbon deduction factor corresponding to the regional power grid output by the green electricity carbon deduction factor identification model; the green electricity carbon deduction factor characterizes the influence factor of the transaction green electricity used by each power consumer in the regional power grid on the carbon emission;
the determining module is used for obtaining second non-transaction green electricity consumption of the electric power user to be calculated and determining target carbon emission of the electric power user to be calculated according to the second non-transaction green electricity consumption and the green electricity carbon deduction factor; the second non-transaction green electricity consumption represents the electricity consumption of the green electricity which is not used by the power consumer to be checked; the target carbon emission amount characterizes the carbon emission amount after the green electricity carbon emission amount is removed; the green electricity carbon emission amount characterizes a carbon emission amount corresponding to an amount of electricity used for using the green electricity.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310778981.1A CN116821621A (en) | 2023-06-28 | 2023-06-28 | Green electricity transaction carbon emission accounting method, green electricity transaction carbon emission accounting device and computer equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310778981.1A CN116821621A (en) | 2023-06-28 | 2023-06-28 | Green electricity transaction carbon emission accounting method, green electricity transaction carbon emission accounting device and computer equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116821621A true CN116821621A (en) | 2023-09-29 |
Family
ID=88127045
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310778981.1A Pending CN116821621A (en) | 2023-06-28 | 2023-06-28 | Green electricity transaction carbon emission accounting method, green electricity transaction carbon emission accounting device and computer equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116821621A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117273766A (en) * | 2023-11-22 | 2023-12-22 | 中国电力科学研究院有限公司 | Method and device for calculating carbon emission allocation at user side of power system |
| CN117314468A (en) * | 2023-10-08 | 2023-12-29 | 南方电网能源发展研究院有限责任公司 | Indirect carbon emission carbon accounting method, device, equipment, medium and product |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115169858A (en) * | 2022-06-30 | 2022-10-11 | 国网电动汽车服务有限公司 | Carbon emission reduction calculation method and system based on electric vehicle comprehensive application scene |
| CN115423386A (en) * | 2022-11-04 | 2022-12-02 | 上海远景科创智能科技有限公司 | Method, device, equipment and medium for determining power carbon emission factor |
| CN115481898A (en) * | 2022-09-20 | 2022-12-16 | 南方电网能源发展研究院有限责任公司 | Electric power carbon emission factor confirmation model construction method and device and computer equipment |
| CN115511332A (en) * | 2022-09-30 | 2022-12-23 | 南方电网能源发展研究院有限责任公司 | Carbon emission determination method, carbon emission determination device, computer equipment and storage medium |
| CN115577234A (en) * | 2022-11-21 | 2023-01-06 | 中国电力科学研究院有限公司 | Node power supply emission factor calculation method and system based on power flow distribution |
| CN116012196A (en) * | 2023-01-30 | 2023-04-25 | 中国电力科学研究院有限公司 | Complex electricity park carbon metering method, system, computer equipment and storage medium |
| CN116227984A (en) * | 2022-12-30 | 2023-06-06 | 国网北京市电力公司 | Method and device for determining electric power carbon emission factor and nonvolatile storage medium |
-
2023
- 2023-06-28 CN CN202310778981.1A patent/CN116821621A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115169858A (en) * | 2022-06-30 | 2022-10-11 | 国网电动汽车服务有限公司 | Carbon emission reduction calculation method and system based on electric vehicle comprehensive application scene |
| CN115481898A (en) * | 2022-09-20 | 2022-12-16 | 南方电网能源发展研究院有限责任公司 | Electric power carbon emission factor confirmation model construction method and device and computer equipment |
| CN115511332A (en) * | 2022-09-30 | 2022-12-23 | 南方电网能源发展研究院有限责任公司 | Carbon emission determination method, carbon emission determination device, computer equipment and storage medium |
| CN115423386A (en) * | 2022-11-04 | 2022-12-02 | 上海远景科创智能科技有限公司 | Method, device, equipment and medium for determining power carbon emission factor |
| CN115577234A (en) * | 2022-11-21 | 2023-01-06 | 中国电力科学研究院有限公司 | Node power supply emission factor calculation method and system based on power flow distribution |
| CN116227984A (en) * | 2022-12-30 | 2023-06-06 | 国网北京市电力公司 | Method and device for determining electric power carbon emission factor and nonvolatile storage medium |
| CN116012196A (en) * | 2023-01-30 | 2023-04-25 | 中国电力科学研究院有限公司 | Complex electricity park carbon metering method, system, computer equipment and storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 尚楠 等: "电碳市场背景下典型环境权益产品衔接互认机制及关键技术", 《中国电机工程学报》, 17 March 2023 (2023-03-17), pages 1 - 17 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117314468A (en) * | 2023-10-08 | 2023-12-29 | 南方电网能源发展研究院有限责任公司 | Indirect carbon emission carbon accounting method, device, equipment, medium and product |
| CN117273766A (en) * | 2023-11-22 | 2023-12-22 | 中国电力科学研究院有限公司 | Method and device for calculating carbon emission allocation at user side of power system |
| CN117273766B (en) * | 2023-11-22 | 2024-02-20 | 中国电力科学研究院有限公司 | Method and device for calculating carbon emission allocation at user side of power system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN116821621A (en) | Green electricity transaction carbon emission accounting method, green electricity transaction carbon emission accounting device and computer equipment | |
| CN114757457B (en) | Electric carbon emission overall process monitoring method and device based on electric power big data | |
| CN114757602B (en) | Supply side electric power carbon emission risk early warning method and device and computer equipment | |
| CN110245980A (en) | The method and apparatus for determining target user's exiting form based on neural network model | |
| Cao et al. | Early warning of enterprise decline in a life cycle using neural networks and rough set theory | |
| CN108198041A (en) | A kind of Method of Commodity Recommendation based on time attenuator, terminal and medium | |
| Fu et al. | Bike-sharing inventory management for market expansion | |
| Moszkowski et al. | Option value and storefront vacancy in New York City | |
| CN110134860A (en) | User's portrait generation method, device and equipment | |
| CN114387085B (en) | Method, device, computer equipment and storage medium for processing stream data | |
| Baita | Impact of infrastructure on trade: an empirical assessment by the gravity model in ECOWAS | |
| CN110163585B (en) | Method and device for issuing electronic red packet | |
| Oh et al. | A reinforcement learning-based demand response strategy designed from the Aggregator’s perspective | |
| CN117196543A (en) | Multi-purpose ammeter recharging management method and system based on fund pool | |
| CN116826863B (en) | Power plant carbon quota adjustment method, device, computer equipment and storage medium | |
| CN117787791A (en) | Service integral accounting method, device, computer equipment and storage medium | |
| CN117424215A (en) | Power resource clearing control method and device based on carbon transaction and green electricity transaction | |
| CN116596577A (en) | Carbon integral determination method and device and computer equipment | |
| CN117726076A (en) | Method, device, equipment and medium for determining resource conversion service influence information | |
| CN118154300A (en) | Mortgage parameter processing method, mortgage parameter processing device, computer equipment and storage medium | |
| CN117724680A (en) | Demand evaluation method, device, computer equipment and storage medium | |
| CN117196703A (en) | Resource distribution method, device, computer equipment and storage medium | |
| Zhang et al. | Price, internet penetration and green food industry development: Based on the interaction between demand and supply | |
| CN116991639A (en) | Energy consumption prediction method, device, computer equipment and storage medium | |
| CN118115025A (en) | Business target data adjustment method, device, computer equipment, medium and product |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |